Autonomy Engineering Manager - Behavior Prediction and Intent

May Mobility • Ann Arbor, MI

11d • Hybrid

About The Position

As the Engineering Manager for Prediction within the Behavior team, this role drives the strategic direction and execution of trajectory and intent prediction systems. The manager leads a team of specialized engineers, bringing together machine learning and classical robotics architectures to build multi-agent prediction capabilities for the Multi-Policy Decision Making (MPDM) platform. The role partners across autonomy, infrastructure, and remote operations to support safety integration, technical excellence, and scalable talent development.

The role is based remotely or in a hybrid arrangement out of Ann Arbor, Michigan. Hybrid employees work from home or another workspace and from an office or site on an agreed cadence; the posting describes 2–3 days per week or 8 days per month in the office. Remote employees work primarily from home or an alternative workspace. Moderate travel is required (11%–25%).

Requirements

• At least 5 years of experience managing technical teams or leading technical project teams.
• Bachelor’s degree in a relevant technical field such as Robotics, Computer Science, or Mechanical Engineering, or comparable knowledge or experience.
• Strong leadership skills and ability to lead and manage a team of 5 or more people.
• Ability to mentor technical team members and develop their technical and interpersonal skills.
• Experience working cross-functionally with other engineering teams, operations, and external partners.
• Experience delivering projects on time in conditions of high uncertainty.
• Strong verbal and written communication skills, including the ability to communicate complex technical topics to technical and non-technical audiences.
• Data-driven approach and ability to drive creation and maintenance of team progress metrics and KPIs.
• Advanced knowledge of Jira, Jira reporting, and dashboards.
• Proficiency with BI tools such as AWS QuickSight or Tableau for building operational dashboards and reporting that scale with fleet growth.

Nice To Haves

• At least 7 years of experience managing technical teams or leading technical project teams.
• Master’s or other advanced degree in a relevant technical field such as Robotics, Computer Science, or Mechanical Engineering.
• Ability to critically interpret large-scale fleet data and insights to validate problem framing and support informed decision-making.
• Experience with autonomous vehicles or other robotic platforms deployed in commercial settings.
• Experience with start-ups and scaling an organization.

Responsibilities

• Guide the evolution of intent and prediction architectures, balancing classical robotics with data-driven machine learning approaches.
• Partner with Behavior, Modeling, Perception, and Remote Assistance teams to maintain long-term architectural roadmaps and align deliverables with leadership strategy.
• Integrate safety metrics, risk assessments, and Operational Design Domain (ODD) requirements into team delivery and testing milestones.
• Collaborate with infrastructure and tooling teams to accelerate iteration cycles.
• Incorporate Root Cause Analyses (RCAs) into the team's backlog and provide engineering escalation support when field issues require deep domain expertise.
• Enforce rigorous code quality standards and design reviews, ensuring complete engineering ownership of deliverables.
• Grow, onboard, mentor, and continuously develop engineering talent through internal development and external hiring.

Benefits

• Comprehensive healthcare suite, including medical, dental, vision, life, and disability plans; eligible domestic partners must have resided with the employee for at least one year.
• Health Savings and Flexible Spending Accounts for healthcare and dependent care.
• Retirement benefits, including an immediately vested employer safe harbor match.
• Paid parental leave and a phased return to work.
• Flexible vacation policy and paid company holidays.
• Total Wellness Program with resources for overall wellbeing.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager